Outside of the article's mentioned graphics development, there is no reason to isolate an agent using actual hardware. I threw together this script[0] using libvirt to give claude its own graphical desktop env to be able to do user acceptance testing with Chrome. It has full root and can do what ever. If it makes a mess, I can dump and reinstall in seconds.
If I had one I would definitely try creating a separate VLAN for it to control, otherwise it's isolated from your files but still has access to your network and devices in it.
I run a lot of data science-type analyses that can take up to hours at a time to run, so Claude is « monitoring » tasks most of the time. I have it on remote-control so I get notified when a task is done or need clarification, but most importantly whenever I have a new idea, I can just ask Claude to queue it up. Most of the time my hardware is the bottleneck, not the subscription quotas.
Many Claude Code power users don’t really use IDEs anymore, so the only purpose of them working from their laptop instead of a phone is because that is the normal way to do it.
Here is a real use case: you are are responsible for some alerting channel. You have datadog/ cloud logging/ github all connected. You see a bunch of alerts come through while you are out and about and you prompt CC to investigate - Claude triages and says “all of the sudden you are getting time outs from this bank API your company partners with, this started an hour ago. It’s happening on ~15% of requests”. So you ping the guy at your company who does vendor relationships and go back to your weekend.
This is a non hypothetical example. Obviously it would be better if your job had a real on call rotation and more robust alerting and you wouldn’t be getting slack alerts on the weekend… but I take the approach this job affords me a lot of nice flexibility so it’s ok
I've used it for the following when I've had tokens to burn:
- Fuzzing with the goal for it to apply domain-specific and source-informed knowledge to choose specific fuzzing approaches.
- More generally, any optimization problem that benefits from domain-specific or source informed knowledge.
- Running Microsoft's SkillOpt [0].
Running Claude code 24/7 on a code base on that “second Mac” so you can always continue after a usage limit reset, from your main device or from your phone?
Though it doesn't get by all the hurdles mentioned, it is alternatively possible to run Mac OS in a VM on your Mac using UTM and install Claude Code within the UTM VM. UTM can be run under a non-admin Mac account. This can allow you to use most Mac-native tooling, at least. The interactive performance of using the Claude Code ui on the VM isn't great, however. I'm not sure if you can log into the VM via terminal on the host from the non-root admin account to avoid the ui performance issues.
An argument against this method is UTM doesn't support graphics acceleration so browser support will be hobbled. Even if you don't need the acceleration, I've found browsers in UTM virtualized OS's can't get past some modern captchas and other browser fingerprinting checkpoints :\. It's terrible but that's the way it is.
Giving sudo permissions to an agent seems reckless. Claude gets his own unprivileged UNIX account, no more. I don't bother with containers or VMs however.
I just redid my homelab/media server (switched from an old NUC I couldn’t figure out how to stop overheating even with some decent modification work, now using an hp elitedesk with an i5 processor that is handling my stack nicely). Thinking about setting up a vm on the base ubuntu install for isolation to run Claude in. May play with dispatch, may just put raw Claude code then use Moshi app on my iPhone and iPad.
I’ve been doing something similar with an old m2. It isn’t powerful enough for local models, well sufficient local models but for openclaw and Claude it’s been perfect.
MacBook m1/m2 also are cheap enough now vs an Mac mini which I was surprised about, not too surprised but yeah..
I currently have Claude Desktop installed on a separate Mac mini M4 and control it with Dispatch. Is there a reason to do this method, it still seems the way I have it setup it has full control over the local account I gave it on the Mac mini.
I found Dispatch to be less capable than RC. The latter is more like the direct Code experience (though there are some gaps in RC mode vs in a Claude-owned sandbox).
I’d love to just have Claude use my machine as a sandbox host instead of having to run RC on each host session. (In case you are listening Boris ;) ).
In the meantime I have a janky master RC session that creates new tmux windows and Claude RC sessions for each new code trajectory that I want to run.
The other benefit here is you can drop down and use termux to use Code directly if you hit a RC bug, I found permissions UX to be a bit flaky in the iOS UI.
Dispatch/Cowork is basically claude code in a container. The section "Why not run it in a container?" would address your question in the post. One example I run into is that Cowork won't download and fill out or read pdfs or other files due to container permissions. Vanilla claude code has no problem using curl and wget.
Cowork gets tangled with git as well. Fails, and then can't delete lock files.
Running a helper from the terminal, making Claude work in a working directory, and then create a .commit file has been my workaround for this for a while now.
Imagine there's a better solution nowadays, but this allows me to use dispatch building on Vercel, so I can check it out from wherever, without too much pain.
I've been putting off learning Claude and this article had me strongly considering jumping in. Then I looked up Anthropic pricing and its 100x more convoluted than cloud services management. Its a goddamn full time job and independent skill set figuring out how to prevent going bankrupt from AI usage!
I think I'm gonna be a late adopter on this one until the industry figures out a less cumbersome pricing model.
Look at the subscriptions. That's how anyone using the stuff as an individual should be approaching it today if they are dealing directly with Anthropic or OpenAI.
With the $200 Claude subscription I was able to get around $13-15k of API equivalent usage in one month. When you hit your usage limit for a given time period you get cut off until the time period resets, don't bother paying for additional usage credits, you will be disappointed.
I still don't understand what these freaks are doing running these agents 24/7 on machines. What are they doing? Managing a todo list? You mean crossing items off as you complete them? Research tasks? To do what?
Never really get good answers. There is no killer app. Just bikeshedding.
Swiping Tinder. It takes about 5000 matches to get a date. It’s easier to just automate it. It automatically adds dates to my calendar, all I have to do is show up. I get a summary of our chat history (well, what the agent wrote to her) in the notes section of the calendar entry and some pointers and talking points for the date.
Maybe I should have the agent also do a background check.
PS: This is a joke, but feel free to steal this idea.
The future is agents chatting to each other on tinder and automating the initial getting to know you part. I can imagine that while that's going on, we could add like a little text chat box for the humans to chit chat with each other a bit and pass the time, before they can go on a date
> TinderGPT automates the process of writing and arranging dates with girls on Tinder, enabling you to generate romantic meetings with almost zero effort. Your only role is to like the profiles that catch your eye. After that, TinderGPT comes into the play. It initiates a conversation with the girl, using details from her profile, continues by building an emotional bond and highlighting your attractive traits, and finishes by arranging a meeting and giving you a push-up on your phone with her number.
It seems the main use case is having Claude automatically write blogposts about how great using Claude is, then submit them wherever necessary.
There's lots of news about the billions AI companies spend on data center construction, but it feels like it's not even a fraction of the money they're spending on endless nonstop blogs about how great their app is at doing... things. Things that will never be defined.
Exact same question as you. When the new ChatGPT app dropped it suggested to me to set up a task something like (paraphrased) “every Monday read my Gmail and Slack an make a summary and task list for the week”.
Why would I need an LLM to do this for me? That’s 5 minutes of work max, and doing it gets me in the flow of work again, to see what’s going on and needs to be done.
For a lot of folks summarizing a few days of work email and especially slack chats is way more than 5 minutes. Some work environments do not have great communication hygiene so it can be overwhelming to try to keep up with 500 emails a day and 38 Slack channels.
For the folks I talk to who use a LLM for this that seems to be the case. Takes a huge cognitive load off every morning and saves them an hour or two.
More or less a very expensive band aid over a bad work environment.
I kinda use it the same way in a sense. I have a little skill I run against our (horrible) task management system to summarize things and give me a punchlist to work through sorted by priority. This saves me thousands of clicks to do the same thing in the horrible web UI. A proper system in the first place would be a lot better!
At some point I’ll probably just take that to the next logical step and have the LLM write my own web interface to abstract and replace the horrible one entirely for me.
Because then OpenAI can read your emails and project communications and eventually build a model they will sell as an automated consultant. The CEOs will uncritically eat it up just long enough to cut the footing out from the industry. Once everyone is used to the sorry state of software, nobody will be able to imagine putting people to the task anymore and we'll have the new world order that Altman and Theil have been talking about creating.
> This workflow alone is immensely powerful, and takes alot of burden off the team.
ITSM those unsupervised workflows are essentially an attempt at purported productivity in the near term at the expense of meaningful incremental long term burden for teams.
The only ostensible benefit is in the eyes of the AI-psychotic tinkerer, who knows no better, or in those of the clout-chasing developer farming likes on their LinkedIn posts.
What's a good way to give a limited amount of money to the LLM, say like 2k or 5k or something. But keep it completely separate from my identity.
Like I want the LLM to have a bank account and he can do ANYTHING with that bank account that he wants. But he can't fuck anything up that has to so with me. He only has 2 - 5k
Idk how you could at least in the US. Closest thing off the top of my head would be one of those checking accounts you can setup for kids. It would still be tied to you.
If you want Anthropic (or others) but anonymously, what you do is use https://openrouter.ai/pricing and fund your account from any of your preferred cryptos.
Outside of the article's mentioned graphics development, there is no reason to isolate an agent using actual hardware. I threw together this script[0] using libvirt to give claude its own graphical desktop env to be able to do user acceptance testing with Chrome. It has full root and can do what ever. If it makes a mess, I can dump and reinstall in seconds.
0: https://gist.github.com/smith153/04b4068b5a2d7b234f1c3d5992d...
This is neat, and thank you for sharing!
I've been wanting to set up something exactly like this for my own use, but... You know, time is limited.
This is just enough scaffolding to have a little project for Monday morning!
If I had one I would definitely try creating a separate VLAN for it to control, otherwise it's isolated from your files but still has access to your network and devices in it.
I just cannot come up with a good AI-is-actually-24/7-helping-me-out use case.
Please help: I wánt to need this!
I run a lot of data science-type analyses that can take up to hours at a time to run, so Claude is « monitoring » tasks most of the time. I have it on remote-control so I get notified when a task is done or need clarification, but most importantly whenever I have a new idea, I can just ask Claude to queue it up. Most of the time my hardware is the bottleneck, not the subscription quotas.
That makes sense - thanks. Do you use hooks for this?
Many Claude Code power users don’t really use IDEs anymore, so the only purpose of them working from their laptop instead of a phone is because that is the normal way to do it.
Here is a real use case: you are are responsible for some alerting channel. You have datadog/ cloud logging/ github all connected. You see a bunch of alerts come through while you are out and about and you prompt CC to investigate - Claude triages and says “all of the sudden you are getting time outs from this bank API your company partners with, this started an hour ago. It’s happening on ~15% of requests”. So you ping the guy at your company who does vendor relationships and go back to your weekend.
This is a non hypothetical example. Obviously it would be better if your job had a real on call rotation and more robust alerting and you wouldn’t be getting slack alerts on the weekend… but I take the approach this job affords me a lot of nice flexibility so it’s ok
I've used it for the following when I've had tokens to burn:
[0]: https://github.com/microsoft/SkillOpti like using /remote-control to keep vibe dev running smoothly against my usage limits and deadlines
Running Claude code 24/7 on a code base on that “second Mac” so you can always continue after a usage limit reset, from your main device or from your phone?
They help folks on fixed rate plans consistently hit their usage limits which provides them the feeling of getting their money's worth.
Same here
ask AI to help
Though it doesn't get by all the hurdles mentioned, it is alternatively possible to run Mac OS in a VM on your Mac using UTM and install Claude Code within the UTM VM. UTM can be run under a non-admin Mac account. This can allow you to use most Mac-native tooling, at least. The interactive performance of using the Claude Code ui on the VM isn't great, however. I'm not sure if you can log into the VM via terminal on the host from the non-root admin account to avoid the ui performance issues.
An argument against this method is UTM doesn't support graphics acceleration so browser support will be hobbled. Even if you don't need the acceleration, I've found browsers in UTM virtualized OS's can't get past some modern captchas and other browser fingerprinting checkpoints :\. It's terrible but that's the way it is.
> browsers in UTM virtualized OS's can't get past some modern captchas and other browser fingerprinting checkpoints :\
I'm using Qubes OS, where everything runs in VMs without GPU acceleration, and never experienced this.
Giving sudo permissions to an agent seems reckless. Claude gets his own unprivileged UNIX account, no more. I don't bother with containers or VMs however.
> setting up your spare Mac
as one has
i once thought the same
I just redid my homelab/media server (switched from an old NUC I couldn’t figure out how to stop overheating even with some decent modification work, now using an hp elitedesk with an i5 processor that is handling my stack nicely). Thinking about setting up a vm on the base ubuntu install for isolation to run Claude in. May play with dispatch, may just put raw Claude code then use Moshi app on my iPhone and iPad.
I’ve been doing something similar with an old m2. It isn’t powerful enough for local models, well sufficient local models but for openclaw and Claude it’s been perfect.
MacBook m1/m2 also are cheap enough now vs an Mac mini which I was surprised about, not too surprised but yeah..
My setup is sort of reversed. The powerful machine (framework desktop) is my headless AI machine and M1 mbp is my daily driver. Works well!
I am sorry to report that 16GB+ MacBook Airs/MacBooks have become unreasonably expensive - probably from use cases like this.
You people are too far gone
I currently have Claude Desktop installed on a separate Mac mini M4 and control it with Dispatch. Is there a reason to do this method, it still seems the way I have it setup it has full control over the local account I gave it on the Mac mini.
I found Dispatch to be less capable than RC. The latter is more like the direct Code experience (though there are some gaps in RC mode vs in a Claude-owned sandbox).
I’d love to just have Claude use my machine as a sandbox host instead of having to run RC on each host session. (In case you are listening Boris ;) ).
In the meantime I have a janky master RC session that creates new tmux windows and Claude RC sessions for each new code trajectory that I want to run.
The other benefit here is you can drop down and use termux to use Code directly if you hit a RC bug, I found permissions UX to be a bit flaky in the iOS UI.
Dispatch/Cowork is basically claude code in a container. The section "Why not run it in a container?" would address your question in the post. One example I run into is that Cowork won't download and fill out or read pdfs or other files due to container permissions. Vanilla claude code has no problem using curl and wget.
Cowork gets tangled with git as well. Fails, and then can't delete lock files.
Running a helper from the terminal, making Claude work in a working directory, and then create a .commit file has been my workaround for this for a while now.
Imagine there's a better solution nowadays, but this allows me to use dispatch building on Vercel, so I can check it out from wherever, without too much pain.
Why would you need an M4 for this? If most of the "thinking" is happening on Anthropic's side, are you running particularly resource-intensive apps?
Dispatch works great, and I have reversed the setup so Claude can ssh-spawn sessions on my homelab for non-Mac dependent work
I've been putting off learning Claude and this article had me strongly considering jumping in. Then I looked up Anthropic pricing and its 100x more convoluted than cloud services management. Its a goddamn full time job and independent skill set figuring out how to prevent going bankrupt from AI usage!
I think I'm gonna be a late adopter on this one until the industry figures out a less cumbersome pricing model.
Look at the subscriptions. That's how anyone using the stuff as an individual should be approaching it today if they are dealing directly with Anthropic or OpenAI.
With the $200 Claude subscription I was able to get around $13-15k of API equivalent usage in one month. When you hit your usage limit for a given time period you get cut off until the time period resets, don't bother paying for additional usage credits, you will be disappointed.
i just use terminus + wireguard + tmux and works great, i can control claude/codex from my phone while working out
I still don't understand what these freaks are doing running these agents 24/7 on machines. What are they doing? Managing a todo list? You mean crossing items off as you complete them? Research tasks? To do what?
Never really get good answers. There is no killer app. Just bikeshedding.
Swiping Tinder. It takes about 5000 matches to get a date. It’s easier to just automate it. It automatically adds dates to my calendar, all I have to do is show up. I get a summary of our chat history (well, what the agent wrote to her) in the notes section of the calendar entry and some pointers and talking points for the date.
Maybe I should have the agent also do a background check.
PS: This is a joke, but feel free to steal this idea.
The future is agents chatting to each other on tinder and automating the initial getting to know you part. I can imagine that while that's going on, we could add like a little text chat box for the humans to chit chat with each other a bit and pass the time, before they can go on a date
Any sufficiently advanced satire...
It works well enough for bumble web, just make sure you have rate limiting..
Then the openclaw WhatsApp module…
Kidding of course.
Crap, I totally believed this. We live in a dystopia already.
Someone apparently made this
https://github.com/Grigorij-Dudnik/TinderGPT
> TinderGPT automates the process of writing and arranging dates with girls on Tinder, enabling you to generate romantic meetings with almost zero effort. Your only role is to like the profiles that catch your eye. After that, TinderGPT comes into the play. It initiates a conversation with the girl, using details from her profile, continues by building an emotional bond and highlighting your attractive traits, and finishes by arranging a meeting and giving you a push-up on your phone with her number.
It seems the main use case is having Claude automatically write blogposts about how great using Claude is, then submit them wherever necessary.
There's lots of news about the billions AI companies spend on data center construction, but it feels like it's not even a fraction of the money they're spending on endless nonstop blogs about how great their app is at doing... things. Things that will never be defined.
Exact same question as you. When the new ChatGPT app dropped it suggested to me to set up a task something like (paraphrased) “every Monday read my Gmail and Slack an make a summary and task list for the week”.
Why would I need an LLM to do this for me? That’s 5 minutes of work max, and doing it gets me in the flow of work again, to see what’s going on and needs to be done.
For a lot of folks summarizing a few days of work email and especially slack chats is way more than 5 minutes. Some work environments do not have great communication hygiene so it can be overwhelming to try to keep up with 500 emails a day and 38 Slack channels.
For the folks I talk to who use a LLM for this that seems to be the case. Takes a huge cognitive load off every morning and saves them an hour or two.
More or less a very expensive band aid over a bad work environment.
I kinda use it the same way in a sense. I have a little skill I run against our (horrible) task management system to summarize things and give me a punchlist to work through sorted by priority. This saves me thousands of clicks to do the same thing in the horrible web UI. A proper system in the first place would be a lot better!
At some point I’ll probably just take that to the next logical step and have the LLM write my own web interface to abstract and replace the horrible one entirely for me.
And how can they be sure the summary correct and doesn’t miss anything important?
Because then OpenAI can read your emails and project communications and eventually build a model they will sell as an automated consultant. The CEOs will uncritically eat it up just long enough to cut the footing out from the industry. Once everyone is used to the sorry state of software, nobody will be able to imagine putting people to the task anymore and we'll have the new world order that Altman and Theil have been talking about creating.
I think you need to open your mind to the possibilities? For example:
- scanning logs for errors and
- opening issues which are then auto-triaged and
- PRs are opened for them and auto-reviewed and
- merged (and deployed).
This workflow alone is immensely powerful, and takes alot of burden off the team.
> This workflow alone is immensely powerful, and takes alot of burden off the team.
ITSM those unsupervised workflows are essentially an attempt at purported productivity in the near term at the expense of meaningful incremental long term burden for teams.
The only ostensible benefit is in the eyes of the AI-psychotic tinkerer, who knows no better, or in those of the clout-chasing developer farming likes on their LinkedIn posts.
None of this requires running it 24/7.
I set it up out of curiosity a few months ago and realised I had no requirement for it whatsoever.
I’m actually very time-poor, so figured it could help be clawed back time doing… what exactly?
If you can’t think up enough coding projects to keep an agent busy in the background that’s a skill issue on your side.
Have it work down my jira tickets while I’m sitting on the porcelain throne
What's a good way to give a limited amount of money to the LLM, say like 2k or 5k or something. But keep it completely separate from my identity.
Like I want the LLM to have a bank account and he can do ANYTHING with that bank account that he wants. But he can't fuck anything up that has to so with me. He only has 2 - 5k
Idk how you could at least in the US. Closest thing off the top of my head would be one of those checking accounts you can setup for kids. It would still be tied to you.
If you want Anthropic (or others) but anonymously, what you do is use https://openrouter.ai/pricing and fund your account from any of your preferred cryptos.